df6 = h2o.H2OFrame.from_python(np.random.randn(100,1).tolist())

df6.hist(plot=False)

# Parse Progress: [###############################] 100%
#    breaks    counts    mids_true         mids    density
# ---------  --------  -----------  -----------  ---------
# -1.51121        nan   nan         nan          0
# -0.868339         9    -1.07704    -1.18977    0.139997
# -0.225468        12    -0.73561    -0.546904   0.186663
#  0.417403        18    -0.413093    0.0959675  0.279994
#  1.06027         26    -0.10108     0.738839   0.404436
#  1.70315         22     0.214337    1.38171    0.342215
#  2.34602          7     0.607727    2.02458    0.108887
#  2.98889          6     0.860969    2.66745    0.0933313
#
# [8 rows x 5 columns]